Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/46304
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dc.contributor.authorViswanath Gopalakrishnanen
dc.date.accessioned2011-11-29T04:41:48Zen
dc.date.available2011-11-29T04:41:48Zen
dc.date.copyright2010en
dc.date.issued2010en
dc.identifier.citationViswanath, G. (2010). Models for visual saliency in images and videos. Doctoral thesis, Nanyang Technological University, Singapore.en
dc.identifier.urihttps://hdl.handle.net/10356/46304en
dc.description.abstractMultimedia data consisting of videos and images are in general very rich in content and carry lot of information. With the digital cameras and camcorders becoming easily available to consumers, the amount of information in the form of multimedia data stored and shared across web has increased exponentially. Human beings are normally interested only in a ’subset’ of this information available in images and videos, which they consider as salient. Given the huge amount of data to be processed, it is important to obtain information regarding the regions in an image or video which attract human attention so that the overhead of redundant data can be greatly reduced in multimedia applications. The detection of such salient regions or objects in images and videos is the objective of the proposed research work.en
dc.format.extent164 p.en
dc.language.isoenen
dc.subjectDRNTU::Engineering::Mathematics and analysis::Simulationsen
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer visionen
dc.titleModels for visual saliency in images and videosen
dc.typeThesisen
dc.contributor.supervisorDeepu Rajanen
dc.contributor.schoolSchool of Computer Engineeringen
dc.description.degreeDOCTOR OF PHILOSOPHY (SCE)en
dc.contributor.researchCentre for Multimedia and Network Technologyen
dc.identifier.doi10.32657/10356/46304en
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